NCT03338036

Brief Summary

Most concussions resolve within 7-10 days, but approximately 40% of individuals do not fully recover and suffer from persistent post-concussive symptoms. This 8-week intervention study will evaluate the efficacy of heart rate variability (HRV) biofeedback and neurofeedback on reducing the number and severity of concussion symptoms.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
31

participants targeted

Target at P25-P50 for not_applicable

Timeline
Completed

Started Jan 2018

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

November 3, 2017

Completed
6 days until next milestone

First Posted

Study publicly available on registry

November 9, 2017

Completed
2 months until next milestone

Study Start

First participant enrolled

January 1, 2018

Completed
8 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

August 31, 2018

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

August 31, 2018

Completed
1.8 years until next milestone

Results Posted

Study results publicly available

June 4, 2020

Completed
Last Updated

August 9, 2022

Status Verified

July 1, 2022

Enrollment Period

8 months

First QC Date

November 3, 2017

Results QC Date

October 1, 2019

Last Update Submit

July 17, 2022

Conditions

Keywords

ConcussionPost-Concussion SyndromeBiofeedbackHeart Rate VariabilityNeurofeedback

Outcome Measures

Primary Outcomes (3)

  • Change In SDNN

    The interval between heartbeats, specifically the artifact-free intervals between R waves in the QRS complex, will be measured. This is known as the standard deviation of the norm (SDNN), and is a universal method of quantifying HRV (Camm et al., 1996). This information is collected using the Mindja application for android devices, created by Evoke Neuroscience.The physiologically relevant norms are a mean of 50 (SD 16) and a range from 32-93 ms (Shaffer F, Ginsberg JP. An Overview of Heart Rate variability Metrics and Norms. Frontiers in Public Health. 2017 Sep;5(258):1.)

    baseline and post-intervention (8 weeks)

  • Number of Participants Making Driving Simulator Mistakes

    Participants will perform a driving simulation task using the DriveSafety CDS-250 driving simulator. It will record the performance, and afterwards a trained rater will review and evaluate the number of driving errors using a standardized assessment form. The number of individuals that made a driving simulator mistake are reported. The minimum is zero and the maximum is the number of participants in the Arm/Group. We are not aware of any physiologically relevant ranges for this measure.

    baseline and post-intervention (8 weeks)

  • Change In Electrocardiograph Amplitudes

    The amplitude and power of alpha, beta, theta, and delta frequencies will be evaluated relative to reference norms (Gevensleben et al., 2010) and expressed as Z-scores (deviation from the mean divided by the standard deviation). In terms of physiologically relevant norms, 99% of the population will have scores between -3 and +3. This information is collected and stored in a secured cloud between Evoke Neuroscience and Western University.

    baseline and post-intervention (8 weeks)

Secondary Outcomes (2)

  • Change In Number and Severity of Post-concussive Symptoms

    baseline and post-intervention (8 weeks)

  • Change In Anxiety

    baseline and post-intervention (8 weeks)

Study Arms (3)

Heart Rate Variability/Neurofeedback

EXPERIMENTAL

Participants in this arm of the study will receive HRV biofeedback and neurofeedback. HRV biofeedback will occur twice daily, using an android device and application. Additionally, three times per week they will have one-hour long neurofeedback sessions.

Device: Heart Rate Variability BiofeedbackDevice: Neurofeedback

Post-Concussed Control Group

NO INTERVENTION

Age-matched, previously concussed individuals that have completed the same concussion rehabilitation program (Brain Ex 90) will be recruited for this arm.

Non-Concussed Control Group

NO INTERVENTION

Age-matched individuals who have not been diagnosed with a concussion in the previous two years

Interventions

HRV biofeedback constitutes initial training with the android device and application, and HRV training performed at home. This training will occur twice daily, and each session will take five minutes.

Heart Rate Variability/Neurofeedback

LORETA Z-Score neurofeedback training will occur three times per week with a trained study investigator.

Heart Rate Variability/Neurofeedback

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Participants in HRV and the HRV/Neurofeedback intervention arms, and the post-concussion control arm:
  • Previously suffered a clinically diagnosed concussion
  • Participated in, completed, and have been discharged from the BrainEx90 outpatient concussion rehabilitation program at Parkwood Institute
  • Continued post-concussive symptoms
  • years of age or older
  • Access to transportation
  • Capable of utilizing hand-held technology (ie. cell phone, tablet, etc.)
  • Holds a valid Driver's License
  • English speaking
  • Participants in the non-concussed control arm:
  • years of age or older
  • Holds a valid driver's license
  • English speaking
  • Has not suffered a concussion in the last two years

You may not qualify if:

  • All participants:
  • Any heart disease, pacemaker, abnormal heartbeat patterns, coronary artery disease, or bypass surgery
  • Any mental health disorder that would interfere with participation in the study
  • Under 18 years of age
  • Unable to provide written informed consent or complete questionnaires due to language or cognitive difficulties
  • Inability to operate a motor vehicle
  • Inability to look at a digital screen for 30 minutes
  • Participants in the non-concussed control arm:
  • \. Suffered a concussion in the last two years

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

University of Western Ontario

London, Ontario, N6A3K7, Canada

Location

Related Publications (13)

  • Bivona U, D'Ippolito M, Giustini M, Vignally P, Longo E, Taggi F, Formisano R. Return to driving after severe traumatic brain injury: increased risk of traffic accidents and personal responsibility. J Head Trauma Rehabil. 2012 May-Jun;27(3):210-5. doi: 10.1097/HTR.0b013e31822178a9.

    PMID: 21829135BACKGROUND
  • Conder RL, Conder AA. Heart rate variability interventions for concussion and rehabilitation. Front Psychol. 2014 Aug 13;5:890. doi: 10.3389/fpsyg.2014.00890. eCollection 2014.

    PMID: 25165461BACKGROUND
  • Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Circulation. 1996 Mar 1;93(5):1043-65. No abstract available.

    PMID: 8598068BACKGROUND
  • Fisk GD, Schneider JJ, Novack TA. Driving following traumatic brain injury: prevalence, exposure, advice and evaluations. Brain Inj. 1998 Aug;12(8):683-95. doi: 10.1080/026990598122241.

    PMID: 9724839BACKGROUND
  • Gevensleben H, Holl B, Albrecht B, Schlamp D, Kratz O, Studer P, Rothenberger A, Moll GH, Heinrich H. Neurofeedback training in children with ADHD: 6-month follow-up of a randomised controlled trial. Eur Child Adolesc Psychiatry. 2010 Sep;19(9):715-24. doi: 10.1007/s00787-010-0109-5. Epub 2010 May 25.

    PMID: 20499120BACKGROUND
  • Ingebrigtsen T, Waterloo K, Marup-Jensen S, Attner E, Romner B. Quantification of post-concussion symptoms 3 months after minor head injury in 100 consecutive patients. J Neurol. 1998 Sep;245(9):609-12. doi: 10.1007/s004150050254.

    PMID: 9758300BACKGROUND
  • Lagos, L., Bottiglieri, T., Vaschillo, B., & Vaschillo, E. (2012). Heart Rate Variability Biofeedback for Postconcussion Syndrome: Implications for Treatment. Biofeedback, 40(4), 150-153. doi:10.5298/1081-5937-40.4.05

    BACKGROUND
  • Lagos, L., Thompson, J., & Vaschillo, E. (2013). A Preliminary Study: Heart Rate Variability Biofeedback for Treatment of Postconcussion Syndrome. Biofeedback, 41(3), 136-143. doi:10.5298/1081-5937-41.3.02

    BACKGROUND
  • Lehrer PM, Gevirtz R. Heart rate variability biofeedback: how and why does it work? Front Psychol. 2014 Jul 21;5:756. doi: 10.3389/fpsyg.2014.00756. eCollection 2014.

    PMID: 25101026BACKGROUND
  • Milleville-Pennel I, Pothier J, Hoc JM, Mathe JF. Consequences of cognitive impairments following traumatic brain injury: Pilot study on visual exploration while driving. Brain Inj. 2010;24(4):678-91. doi: 10.3109/02699051003692159.

    PMID: 20235770BACKGROUND
  • Munivenkatappa A, Rajeswaran J, Indira Devi B, Bennet N, Upadhyay N. EEG Neurofeedback therapy: Can it attenuate brain changes in TBI? NeuroRehabilitation. 2014;35(3):481-4. doi: 10.3233/NRE-141140.

    PMID: 25238859BACKGROUND
  • Preece MH, Horswill MS, Geffen GM. Driving after concussion: the acute effect of mild traumatic brain injury on drivers' hazard perception. Neuropsychology. 2010 Jul;24(4):493-503. doi: 10.1037/a0018903.

    PMID: 20604623BACKGROUND
  • Thompson, M., Thompson, L., Reid-Chung, A., & Thompson, J. (2013). Managing Traumatic Brain Injury: Appropriate Assessment and a Rationale for Using Neurofeedback and Biofeedback to Enhance Recovery in Postconcussion Syndrome. Biofeedback, 41(4), 158-173. doi:10.5298/1081-5937-41.4.07

    BACKGROUND

MeSH Terms

Conditions

Post-Concussion SyndromeBrain Concussion

Interventions

Neurofeedback

Condition Hierarchy (Ancestors)

Head Injuries, ClosedCraniocerebral TraumaTrauma, Nervous SystemNervous System DiseasesWounds and InjuriesWounds, NonpenetratingBrain Injuries, TraumaticBrain InjuriesBrain DiseasesCentral Nervous System Diseases

Intervention Hierarchy (Ancestors)

Biofeedback, PsychologyMind-Body TherapiesComplementary TherapiesTherapeuticsBehavior TherapyPsychotherapyBehavioral Disciplines and ActivitiesFeedback, Psychological

Results Point of Contact

Title
Dr Jim Dickey, Associate Professor
Organization
University of Western Ontario

Study Officials

  • James P Dickey, PhD

    Western University

    PRINCIPAL INVESTIGATOR

Publication Agreements

PI is Sponsor Employee
No
Restrictive Agreement
No

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NON RANDOMIZED
Masking
NONE
Purpose
TREATMENT
Intervention Model
PARALLEL
Model Details: This study will include two intervention arms and two control arms. The intervention arms will include 1) heart rate variability biofeedback, 2) a combination of heart rate variability biofeedback and neurofeedback. The control arms will be 1) age-matched post-concussive individuals and 2) age-matched individuals who have not been diagnosed with a concussion in the last two years.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Sponsor-Investigator

Study Record Dates

First Submitted

November 3, 2017

First Posted

November 9, 2017

Study Start

January 1, 2018

Primary Completion

August 31, 2018

Study Completion

August 31, 2018

Last Updated

August 9, 2022

Results First Posted

June 4, 2020

Record last verified: 2022-07

Data Sharing

IPD Sharing
Will not share

Each participant will be identified with a code (eg. PCS001) that correlates to his or her addition to the study. The master sheet will be the only document that contains the decoding system, and will be stored in a locked filing cabinet. All other data will be labeled using the participant's identification code. Neurophysiological data sent to Evoke Neuroscience will not contain any personal identifiers. Data sent between Evoke Neuroscience and Western University is sent in a secure file transfer. All other de-identified data stored on a Western University hard drive is within a secure university network (J drive).

Locations